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Research Paper | Computer Science & Engineering | Nigeria | Volume 6 Issue 6, June 2017
How to Improve Efficiency of Banking System with Big Data (A Case Study of Nigeria Banks)
Sanni Hafiz Oluwasola
Abstract: In banking industry today which their data has now turn to what we call Big data, some banks has now started making advantages of these big data to reach the main objectives of marketing. The banking industry can use the data to increase their efficiency by identifying the key customer, improving the customer feedback system, detect when they are about to lose a customer, to enhance the active and passive security system and efficiently evaluating of the system. This paper focus on different analysis and algorithms the banking industry can use to achieve all the advantages of these big data especially Nigeria banking industry. Analysis such as Link analysis, survival analysis, neural analysis, text analytics, clustering analysis, decision tree, sentiment analysis, social network analysis and datammer for predicting the security threat.
Keywords: Banking System, Big Data, text analytics, clustering analysis, decision tree, sentiment analysis, social network analysis
Edition: Volume 6 Issue 6, June 2017,
Pages: 944 - 947
How to Cite this Article?
Sanni Hafiz Oluwasola, "How to Improve Efficiency of Banking System with Big Data (A Case Study of Nigeria Banks)", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=6061705, Volume 6 Issue 6, June 2017, 944 - 947
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